Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system for verifying a load placed in one or more trucks, comprising: a plant including a fleet area and a loading area; a mixer located in the loading area of the plant, the mixer having a bottom portion; a discharge point placed to direct material that runs there through the bottom portion of the mixer; one or more trucks receiving material from the discharge point that is placed to direct material that runs there through the bottom portion of the mixer into each of the one or more trucks; an identifier affixed to each of the one or more trucks; an identifier reader for reading the output identifier; a material load verification non-transitory storage media residing on a database, the database having a plurality of truck identifiers and a plurality of identifier reader data sets corresponding to each of the one or more trucks residing on the database, the material load verification non-transitory storage media look for the identifier reader data sets residing on the database, the database in communication with a load matrix interface and the load matrix interface compares the data entry fields on the load matrix interface with the truck identifiers residing on the database; a third-party cloud platform in communication with the identifier reader; and wherein if the identifier reader output matches the data sets, a discharge process continues and a batch weight prints with a success flag, and if the output ID identifier reader output does not match the data sets, a batch weight prints with an error flag and the discharge process is stopped.
This system verifies the correct loading of material into trucks at a plant. The plant includes a fleet area and a loading area with a mixer that discharges material into trucks. Each truck has an identifier, such as a barcode or RFID tag, which is read by an identifier reader. The system includes a database storing truck identifiers and corresponding data sets. A load matrix interface compares the identifier reader output with the database entries. If the identifier matches, the discharge process continues, and a batch weight is printed with a success flag. If the identifier does not match, the discharge process stops, and a batch weight is printed with an error flag. The system also communicates with a third-party cloud platform for additional data processing or verification. This ensures that only authorized trucks receive the correct material loads, preventing errors and improving operational efficiency. The system automates verification, reducing manual checks and enhancing accuracy in material distribution.
2. The system according to claim 1 , wherein the identifier reader a signal detector arranged to detect at least one of a RF transmitter signal, a RF transponder signal, a QR code, a barcode, a camera, a GPS signal or an electronic tracking device signal.
This invention relates to a system for identifying and tracking objects using various detection methods. The system includes an identifier reader that can detect signals from multiple sources, such as RF transmitters, RF transponders, QR codes, barcodes, cameras, GPS signals, or electronic tracking devices. The identifier reader captures these signals to identify and locate objects in a given environment. The system may also include a processor that processes the detected signals to determine the identity, location, or status of the objects. This allows for real-time tracking and monitoring of objects in applications such as inventory management, asset tracking, or logistics. The system can integrate different detection technologies to provide a comprehensive solution for object identification and tracking, improving accuracy and reliability in various operational scenarios. The use of multiple detection methods ensures flexibility, allowing the system to adapt to different environments and tracking requirements.
3. The system according to claim 1 , wherein the load matrix interface contains data entry fields comprising date, time, customer name, mix design identification, quantity, slump, truck identification number, identifier number, driver identification number, driver name, comments, mix constituents and ticket number.
This invention relates to a load matrix interface system for managing concrete delivery operations. The system addresses the need for efficient tracking and documentation of concrete loads, ensuring accurate record-keeping for quality control, billing, and compliance purposes. The load matrix interface includes a structured data entry system that captures essential details for each concrete load. Key data fields include the date and time of the delivery, customer name, mix design identification, quantity of concrete, slump (a measure of concrete consistency), truck identification number, an identifier number for the load, driver identification number, driver name, comments, mix constituents, and a ticket number. These fields enable comprehensive tracking of each load, allowing for precise monitoring of material usage, driver assignments, and delivery schedules. The system facilitates real-time data entry and retrieval, improving operational efficiency and reducing errors in documentation. By standardizing the data collection process, the system ensures consistency in reporting and enhances traceability for quality assurance and regulatory compliance. The interface is designed to integrate with existing concrete delivery management systems, providing a seamless workflow for operators and administrators. This solution is particularly useful in construction and concrete production industries where accurate load tracking is critical for project management and cost control.
4. A method for verifying a load discharged into each of a plurality of trucks, comprising: automatically identifying at least one truck approaching a load discharge point of a plant; automatically determining whether the identified at least one truck corresponds to properties of a load of material proximate the load discharge point; and when the identified at least one truck corresponds to the properties of the load of material, automatically discharging the load of material into the identified at least one truck and when the identified at least one truck does not correspond to the properties of the load of material, inhibiting discharge of the load of material and when the identified at least one truck does not correspond to the load of material printing a batch weight and an error flag.
The invention relates to a system for verifying and managing the discharge of materials into trucks at a plant. The problem addressed is ensuring that the correct load is discharged into the correct truck, preventing errors in material distribution. The method involves automatically identifying trucks as they approach a discharge point using sensors or imaging systems. The system then checks whether the identified truck matches the properties of the material scheduled for discharge, such as truck identification, load type, or destination. If the truck matches, the system automatically discharges the material. If the truck does not match, the system prevents discharge and generates a batch weight record along with an error flag to alert operators of the mismatch. This ensures accurate tracking and prevents incorrect loading, improving efficiency and reducing errors in material handling. The system may also include additional steps such as verifying truck capacity or scheduling to further optimize the discharge process.
5. The method of claim 4 wherein the automatically identifying comprises automatically detecting at least one of a RF transmitter signal, a RF transponder signal, a QR code, a barcode, a camera, a GPS signal and an electronic tracking device.
This invention relates to automated identification systems for tracking and monitoring objects or entities. The technology addresses the need for efficient and reliable methods to automatically detect and identify various types of signals or markers associated with objects, such as radio frequency (RF) signals, transponders, QR codes, barcodes, cameras, GPS signals, and electronic tracking devices. The system automatically identifies these signals or markers to enable real-time tracking, inventory management, or location-based services. The method involves detecting at least one of these identification sources, which may include RF transmitters emitting signals, RF transponders responding to queries, optical codes like QR or barcodes scanned by cameras, GPS coordinates from tracking devices, or signals from dedicated electronic trackers. The system processes these inputs to determine the identity, location, or status of the associated object or entity. This approach enhances automation in logistics, asset management, and surveillance applications by reducing manual intervention and improving accuracy in tracking diverse identification methods. The invention ensures compatibility with multiple identification technologies, allowing flexible deployment in various environments.
6. The method of claim 4 wherein the properties of the load of material are identified by data stored on non-transitory storage medium, the data comprising one or more of date, time, customer name, mix design identification, quantity, slump, truck identification number, output identification number, driver identification number, driver name, comments and mix constituents.
This invention relates to a system for tracking and managing material loads, particularly in construction or industrial settings where precise identification and documentation of material properties are critical. The problem addressed is the lack of a standardized, automated way to record and retrieve detailed information about material loads, leading to inefficiencies, errors, and compliance risks. The method involves identifying and storing properties of a material load on a non-transitory storage medium. The stored data includes key attributes such as date, time, customer name, mix design identification, quantity, slump (a measure of concrete consistency), truck identification number, output identification number, driver identification number, driver name, comments, and mix constituents. This data ensures traceability, quality control, and regulatory compliance by providing a comprehensive record of each load's characteristics and handling. The system automates the collection and storage of these properties, reducing manual errors and improving data accuracy. By linking material loads to specific identifiers (e.g., truck, driver, or output numbers), the method enables efficient tracking throughout the supply chain. The inclusion of mix constituents ensures that the composition of the material is documented, which is essential for quality assurance and troubleshooting. The stored data can be accessed for audits, performance analysis, or customer verification, enhancing transparency and accountability in material management.
7. The method of claim 4 further comprising when the identified at least one truck corresponds to the load of material printing a batch weight and a success flag.
A system and method for managing material loads in a transportation network identifies and tracks trucks carrying specific loads of material. The system determines whether a truck corresponds to a particular load by comparing truck identifiers, load identifiers, or other relevant data. When a match is found, the system generates a batch weight representing the total weight of the identified load and sets a success flag to indicate successful identification. The batch weight provides a quantitative measure of the load, while the success flag serves as a status indicator for further processing or verification. This method ensures accurate tracking and verification of material loads during transportation, improving logistics efficiency and reducing errors in load management. The system may also include additional features such as real-time monitoring, automated alerts, and integration with inventory or dispatch systems to enhance operational workflows. The solution addresses challenges in load identification and verification, particularly in industries where precise tracking of materials is critical, such as mining, construction, or manufacturing. By automating the identification process and providing clear indicators of success, the system minimizes manual intervention and enhances reliability in material logistics.
8. A system for verifying a load placed in one or more trucks, comprising: a plant including a fleet area and a loading area; a mixer located in the loading area of the plant, the mixer having a bottom portion; a discharge point placed to direct material that runs there through the bottom portion of the mixer; one or more trucks receiving material from the discharge point that is placed to direct material that runs there through the bottom portion of the mixer into each of the one or more trucks; an identifier affixed to each of the one or more trucks; an identifier reader reading the output identifier; a material load verification non-transitory storage media residing on a database, the database having a plurality of truck identifiers and a plurality of identifier reader data sets corresponding to each of the one or more trucks residing on the database, the material load verification non-transitory storage media look for the identifier reader data sets residing on the database, the database in communication with a load matrix interface and the load matrix interface compares the data entry fields on the load matrix interface with the truck identifiers residing on the database; a third-party cloud platform in communication with the identifier reader; and wherein the load matrix interface contains data entry fields comprising date, time, customer name, mix design identification, quantity, slump, truck identification number, identifier number, driver identification number, driver name, comments, mix constituents and ticket number.
A system verifies the material load placed in trucks at a plant facility. The plant includes a fleet area and a loading area with a mixer. The mixer has a bottom portion and a discharge point that directs material into one or more trucks. Each truck has an identifier, such as a barcode or RFID tag, which is read by an identifier reader. The system includes a database storing a material load verification module. The database contains truck identifiers and corresponding identifier reader data sets. The database communicates with a load matrix interface, which compares data entry fields with the truck identifiers in the database. The load matrix interface includes fields for date, time, customer name, mix design identification, quantity, slump, truck identification number, identifier number, driver identification number, driver name, comments, mix constituents, and ticket number. A third-party cloud platform communicates with the identifier reader to facilitate data exchange. The system ensures accurate tracking and verification of material loads in trucks, improving logistics and reducing errors in material distribution.
9. The system according to claim 8 , wherein the identifier reader a signal detector arranged to detect at least one of a RF transmitter signal, a RF transponder signal, a QR code, a barcode, a camera, a GPS signal or an electronic tracking device signal.
This invention relates to a system for identifying and tracking objects or entities using multiple detection methods. The system includes an identifier reader that can detect various types of signals or identifiers, such as RF transmitter signals, RF transponder signals, QR codes, barcodes, camera-based imaging, GPS signals, or signals from electronic tracking devices. The identifier reader captures these signals or identifiers and processes them to determine the identity or location of the associated object or entity. The system may also include a processor that analyzes the detected signals or identifiers to extract relevant information, such as the object's identity, status, or position. Additionally, the system may include a communication module to transmit the extracted information to a central database or another device for further processing or monitoring. The system is designed to provide flexible and reliable identification and tracking capabilities across different environments and applications, such as inventory management, asset tracking, or personnel monitoring. The use of multiple detection methods ensures robustness, allowing the system to function even if one detection method is unavailable or unreliable.
10. The system of claim 8 wherein wherein if the identifier reader output matches the data sets, a discharge process continues and a batch weight prints with a success flag, and if the output ID identifier reader output does not match the data sets, a batch weight prints with an error flag and the discharge process is stopped.
This invention relates to a quality control system for batch processing, specifically ensuring accurate identification and tracking of materials during discharge operations. The system addresses the problem of mismatched or incorrect identifiers in batch processing, which can lead to errors in material handling, contamination, or production delays. The system includes an identifier reader that scans an identifier associated with a batch of material. The scanned identifier is compared against predefined data sets stored in a database. If the identifier matches the expected data, the discharge process continues, and a batch weight is printed with a success flag, indicating proper identification and approval for further processing. If the identifier does not match, the discharge process is halted, and a batch weight is printed with an error flag, alerting operators to investigate the discrepancy. The system may also include a controller that manages the discharge process, ensuring that only properly identified batches proceed. The identifier reader may be configured to read various types of identifiers, such as barcodes, RFID tags, or other encoded data. The data sets may include batch-specific information, such as material type, source, or processing requirements, ensuring traceability and compliance with quality standards. This automated verification process minimizes human error and improves operational efficiency in batch processing environments.
Unknown
September 17, 2019
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